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SOSIALISASI PENGGUNAAN APLIKASI ADUAN ELEKTRONIK MAKSIMUM KOMPLAIN (EMAK) PADA DINAS SOSIAL KABUPATEN PRINGSEWU Dwi Yana Ayu Andini; Zulkifli Zulkifli; Andi Mulyono; Panji Bintoro; M. Galih Ramaputra; Joko Triloka
Jurnal Abdimas Bina Bangsa Vol. 4 No. 1 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i1.361

Abstract

The social service is a government agency tasked with improving the quality of social welfare for individuals, groups and communities. One of the mandates of the social service is the service of social complaints in the regions, especially in Pringsewu District. Currently the complaint system still uses a manual system. This caused an obstacle, namely the slow service of complaints, so EMAK (Maximum Complaint Electronic Application) was created to speed up and improve the handling of complaints related to the need for social services, especially in the administrative area of the Pringsewu social service. The methods used in the EMAK application are interview methods, observation methods and literature reviews. This application is designed with a simple layout to facilitate the use of social services manager, just enter according to the section, users can directly access the relevant application. The Emak application was developed to make it easier for social services to process information on public complaints
APLIKASI DIAGNOSIS PENYAKIT PADA TUMBUHAN TOMAT BERBASIS WEBSITE Mirna Niawati; Ferly Ardhy; Tahta Herdian Andika; Panji Bintoro
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.541

Abstract

Tomato fruit as a seasonal crop that is very popular in Indonesia, often faces obstacles in its production due to disease attacks that are often not identified by farmers, which ultimately has an impact on decreasing crop yields for farmers. In this study, researchers apply the if-then function in which it determines the type of disease based on data and facts from an expert. This research resulted in an application of diagnosing tomato plant diseases using the method of developing an extreme proggraming system, with the aim that this application can help farmers to diagnose the early stages of the type of disease based on the symptoms experienced.